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Grant: Alliance Grants

McGill University

$428,775.00

WELL-E: Enhancing Animal Welfare & Longevity through Remote Sensing and Artificial Intelligence Dedicated to Dairy Farming

EF 2024-25

Résumé
Demand for sustainable animal production is led by citizen concerns regarding animal welfare and environmental sustainability, while economic pressure on farmers increases due to changes in markets increasing input prices with little to no changes in output sale prices. Scientific evidence shows how animal welfare and cow longevity go hand in hand, driving the industry's interest in cow welfare, as improving longevity is considered an answer to issues of economic, social, and environmental sustainability in dairy farming. Our initiative is based on the use of remote sensing and artificial intelligence (AI), which could enhance our ability to detect changes in welfare and longevity before the onset of visible outcomes and to generate predictions to aid in on-farm decision-making, ensuring that efforts are focused on animals most likely to succeed in the long-term. Thus, our research initiative aims to capture the impact of modifications to housing systems, management practices and animal handling on the welfare and the longevity of dairy cows. The initiative will be constituted as a Digital Living Lab centered on animals' and end users' needs. Data sources will include (i) two research farms (for results that are reproducible and credible to farm systems); (ii) an expanding network of commercial farms (for objectives that require a longitudinal analysis); and (iii) feedback from end users (to support feasibility of recommendations). An ecosystem empowered with remote sensing and AI will be applied to predict indicators of welfare, longevity, and profitability thorough the animal's life. Data from cameras and sensors will be integrated with AI to capture meaningful insights and automate machine-learning predictors. Our project will allow to assess how modifications to the cow's physical environment impact welfare and longevity outcomes, and how the digital environment enhances end users' ability to improve the cow's physical and psychological experience, while giving new keys to the dairy industry for ensuring its sustainability.
Programme
Alliance Grants
Bénéficiaire
Emplacement
Quebec, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
570894-2021
Name nom
Vasseur, Elsa EV
Department département
Animal Science
Organization id
61
Institution établissement
McGill University
Province en
Québec
Province fr
Québec
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2021
Award amount
428775
Program id
ALLRP
Program name en
Alliance Grants
Program name fr
Subventions Alliance
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
101
Area of application group en
Agriculture and primary food production
Area of application group fr
Agriculture et produits alimentaires primaires
Area of application en
Animal production and animal primary products
Area of application fr
Production animale et produits animaux primaires
Research subject code
5511
Research subject group en
Animal biology
Research subject group fr
Biologie animale
Research subject en
Animal nutrition and husbandry
Research subject fr
Nutrition et élevage des animaux
Field of research list names en
Not available
Field of research list names fr
Non disponible
Socioeconomic objective list names en
Not available
Socioeconomic objective list names fr
Non disponible
Application title
WELL-E: Enhancing Animal Welfare & Longevity through Remote Sensing and Artificial Intelligence Dedicated to Dairy Farming
Keywords
animal behaviour; animal welfare; artificial intelligence; cow longevity; dairy cattle; digital living lab; lifetime profitability; management system transitionning; remote sensing; sustainable animal farming
Application summary
Demand for sustainable animal production is led by citizen concerns regarding animal welfare and environmental sustainability, while economic pressure on farmers increases due to changes in markets increasing input prices with little to no changes in output sale prices. Scientific evidence shows how animal welfare and cow longevity go hand in hand, driving the industry's interest in cow welfare, as improving longevity is considered an answer to issues of economic, social, and environmental sustainability in dairy farming. Our initiative is based on the use of remote sensing and artificial intelligence (AI), which could enhance our ability to detect changes in welfare and longevity before the onset of visible outcomes and to generate predictions to aid in on-farm decision-making, ensuring that efforts are focused on animals most likely to succeed in the long-term. Thus, our research initiative aims to capture the impact of modifications to housing systems, management practices and animal handling on the welfare and the longevity of dairy cows. The initiative will be constituted as a Digital Living Lab centered on animals' and end users' needs. Data sources will include (i) two research farms (for results that are reproducible and credible to farm systems); (ii) an expanding network of commercial farms (for objectives that require a longitudinal analysis); and (iii) feedback from end users (to support feasibility of recommendations). An ecosystem empowered with remote sensing and AI will be applied to predict indicators of welfare, longevity, and profitability thorough the animal's life. Data from cameras and sensors will be integrated with AI to capture meaningful insights and automate machine-learning predictors. Our project will allow to assess how modifications to the cow's physical environment impact welfare and longevity outcomes, and how the digital environment enhances end users' ability to improve the cow's physical and psychological experience, while giving new keys to the dairy industry for ensuring its sustainability.